Our PCB kept failing, so we built a PCB verification tool

Hacker News

So we're a startup building a wearable device, and our PCBs kept failing due to the tiniest design errors. Every iteration cost us weeks of time and thousands in costs and lost revenue. That's why we built CheckMyPCB, a PCB verification tool, and now finally have a working PCB. Just upload your netlist and schematic PDF, and let it run a deep analysis that checks whether your circuit is designed correctly against the datasheets of hundreds of components. It even caught design errors that even senior engineers missed. Based on feedback from early users, we also added a component sourcing tool, so no more searching across 10 different vendors to find a single component, or last-minute lead-time and EOL headaches. Currently in beta and free to use.

Visit product View on Hacker NewsFeb 27, 2026

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2points

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, single · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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